Abstract: Certain aspects of the disclosure provide systems and methods for resolving ambiguities encountered by a decision machine learning (ML) model during processing of input data. For example, a method may include identifying an ambiguity during decision processing of first input data by a decision ML model; conveying the ambiguity to an expert agent for evaluation; receiving, by an LLM, feedback regarding the ambiguity from the expert agent; determining, by the LLM, that the feedback, received from the expert agent, resolves the ambiguity; generating second input data by the LLM, the second input data having the first input data and the feedback determined to resolve the ambiguity; processing the second input data by the decision ML model to generate a decision based on processing of the second input data; and outputting, by the LLM, the decision received from the ML model.

Abstract: A system and method for position tagging within an environment includes at least one mobile electronic device adapted to be moved within the environment and a pedestrian dead reckoning module. The at least one mobile electronic device includes an inertial measurement unit and at least one of a near field communication chip, barcode scanner, global positioning system, Bluetooth receiver or WiFi receiver. The pedestrian dead reckoning module is adapted to query and record time stamped readings from the inertial measurement unit and the at least one of the near field communication chip, barcode scanner, global positioning system, Bluetooth receiver or WiFi receiver. The system and method may generate one or more spatial maps of the environment through the collection of radio frequency signal data along with the time stamped readings.

Abstract: A system and method for position tagging within an environment includes at least one mobile electronic device adapted to be moved within the environment and a pedestrian dead reckoning module. The at least one mobile electronic device includes an inertial measurement unit and at least one of a near field communication chip, barcode scanner, global positioning system, Bluetooth receiver or WiFi receiver. The pedestrian dead reckoning module is adapted to query and record time stamped readings from the inertial measurement unit and the at least one of the near field communication chip, barcode scanner, global positioning system, Bluetooth receiver or WiFi receiver. The system and method may generate one or more spatial maps of the environment through the collection of radio frequency signal data along with the time stamped readings.